Build REST and GraphQL APIs and MCP servers in Python (FastAPI, Flask) to expose ML models from Databricks to internal apps, CRM platforms, and AI agents at RBC. Work within the Data Science team to architect the serving layer, handling contract design, authentication, and documentation.

JPMorgan★3.9 (20k)· London

Cisco VPN infrastructure, Cisco ASA, ISE, CSM, Firepower/FDM, FTD/FMC, SASE, ZTNA, routing (BGP/OSPF/EIGRP), security protocols (IPsec/SSL/TLS/RADIUS/TACACS+), and automation tools (Ansible, Python, NSO, DNA Center, Terraform, Prime Infrastructure). You will design, implement, and operate enterprise VPN services enabling secure remote connectivity for the global workforce within the End User Compute organization at JPMorgan Chase.

You'll work with Microsoft Fabric, PySpark, Python, T-SQL, DAX, Infrastructure as Code, Git, and Azure DevOps. You'll design, build, and maintain data pipelines, lakehouses, and data warehouses within Fabric to drive business intelligence and analytics.

You will work with REST APIs, FIX protocol, JSON, SQL, command-line tools, and Python scripting to lead technical implementations and connectivity integrations for institutional clients. The role manages end-to-end onboarding of exchanges, liquidity providers, and clients onto Talos’ institutional-grade digital asset trading platform, handling platform configuration and troubleshooting. This is an implementation-focused role, not production support, requiring 3+ years of capital markets or fintech experience.

Version 1★3.9 (39)· London

Technologies include AWS security services, Python, Terraform/CloudFormation, and GitLab CI/CD. You embed within a large-scale cloud migration programme moving workloads to AWS, designing, automating, and enforcing security controls throughout the migration lifecycle.

Wise★3.5 (42)· London

You will build scalable systems for business onboarding and verification using Java or JVM languages, Spring framework, JDBC, and relational/non-relational databases with CI/CD pipelines and distributed systems. This engineering team owns end-to-end projects to automate verification, create flexible onboarding journeys, and manage compliance risks for Wise’s money-moving platform across Europe and the UK.

You’ll use Claude Code, Figma, LinkedIn, Google PPC, Reddit, Meta, and SEO/AEO/GEO to build campaigns, landing pages, and assets. AirSpeed’s AI Revenue Orchestration Platform turns customer interactions into insight and action. This is the first dedicated demand-generation and digital-presence role, operating as a hands-on individual contributor with no team to start.

Uses SQL, Python or scripting, BI tools like PowerBI/Looker/Tableau, spreadsheets, and Git to investigate fraud and build dashboards. The role sits in fraud analytics at Moniepoint, an all-in-one financial services platform powering POS transactions and banking across Nigeria and emerging markets.

Intercontinental Exchange★3.2 (156)· London

This is a senior product development role at ICE Data Indices in London, where you will design custom equity and commodity index methodologies using Python, advanced Excel, and the ICE Index Platform. You will engage directly with institutional clients and collaborate with quant and development teams to implement and validate indices. The role requires deep knowledge of equity and commodity index construction, including factor-based, ESG, and thematic approaches.

Paloma Health★0.0· London

You will use HR tools and AI to automate processes as a People Partner for Paloma Health, which reduces NHS autism/ADHD assessment wait times. You'll own stakeholder relationships across the employee lifecycle, covering employee relations, engagement, and L&D.

DataCamp★3.8 (4)· London

You will work with agentic AI systems like Claude Code, Cursor, or Replit to build AI workflows that draft, grade, and quality-check assessment content. You will own the design and production of DataCamp's assessment and certification content, collaborating with subject-matter experts and teams across curriculum, engineering, product, and marketing. This is an individual contributor role.

Design, build, and optimize analytics solutions using SQL, DBT, Power BI (DAX, RLS), GitHub, and cloud platforms (Snowflake, BigQuery, Databricks, Fabric). You will drive data-driven marketing insights for enterprise clients, architecting data models and leading test-and-learn programs. The role also involves mentoring junior team members.

This role involves building ML models for low-data drug discovery using active learning, meta-learning, fine-tuning, uncertainty estimation, and multimodal modeling, with tools like PyTorch and JAX. The scientist will design data acquisition strategies and closed-loop workflows for Lila’s AI-driven scientific discovery systems, collaborating with drug discovery and computational teams.

You'll work with JavaScript, Node.js, Express, React, and MongoDB/Mongoose to set technical direction and oversee AI-assisted content-creation features. As Fractional Head of Product at StoryTerrace, you'll own the roadmap for two B2C platforms—an established product and a new self-serve app—directing one Full Stack Developer and advising on hiring. This role reports to the CEO and requires hands-on coding experience to unblock development.

Moonfare★0.0· London

You will own Moonfare's content slate using AI for research and drafting, producing institutional-grade editorial such as fund theses and market outlooks for sophisticated private-market investors. This role reports to the Head of Communications & Content within Moonfare's lean marketing team.

Trayport★4.2 (5)· London

You will work with AWS (VPC, EKS), Azure (AKS, AKV), Terraform, Kubernetes, CI/CD, and AI tools (Copilot, LLMs). You will design, build, and operate the infrastructure for a global trading platform, leading AI adoption to automate operations and reduce toil. This role is 70% hands-on engineering and 30% technical leadership, mentoring the Platform and Operations teams.

Brunel University★4.1 (154)· London

The role involves developing a wireless network digital twin system for smart city logistics, using 5G/6G, machine learning, AI models, large language models, and AIGC. Work includes performance analysis, radio propagation modeling, and network planning.

LexisNexis Legal & Professional★3.6 (1k)· London

You will drive AI ideation and integrate LLMs, NLP, and machine learning into Practical Guidance editorial workflows. This global role partners with commercial, product, and engineering teams to deploy scalable content-optimization solutions across North America, UK, and Asia-Pacific.

JELLYFISH★3.5 (32)· London

The role focuses on building and extending an agentic delivery stack using tool APIs, MCP servers, AI harnesses, agentic operating systems, and Python. You will drive agentic delivery and adoption both inside Jellyfish, a global digital marketing agency, and with its enterprise clients. This is a 4-month fixed-term contract.

PlayStation★3.8 (164)· London

This role involves working with TensorFlow or PyTorch, Python, and libraries for computer vision and graphics. As part of the Visual Computing Group (VCG), you will develop generative models to advance game rendering and live video streaming through neural networks and machine learning R&D.

Work with Python, PyTorch, JAX, CUDA, Docker, Kubernetes, Slurm, Ray, and Linux on GPU computing. The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery, including biophysics, chemistry, cofolding models, simulation workflows, and agent-usable scientific pipelines.

Work with Python, RDKit, Biopython, OpenMM, MDAnalysis, and open-source computational chemistry workflows for docking, virtual screening, SAR, QSAR, ADMET, and cheminformatics. You will guide and evaluate AI-driven drug discovery workflows, ensuring agent-generated optimization plans and modeling are chemically sound, and lead computational chemistry strategy on active drug programs when needed.

Train cofolding models for protein-ligand drug discovery using PyTorch, JAX, contrastive learning, and structure-aware methods like Boltz, AlphaFold, and equivariant GNNs. The role develops models that reason over proteins, ligands, and experimental DEL data to improve AI-driven discovery decisions.

Relay Technologies★2.0 (9)· London

At Relay Technologies you will build and own time-series forecasting models for parcel volume, inbound international volume, and parcel size/weight, using Python and ML frameworks. You will work on the Network squad’s demand-forecasting engine that predicts parcel movement across sortation, middle-mile, and last-mile operations, directly affecting cost per parcel. This is a hands-on individual-contributor role, serving as the technical anchor for Demand Forecasting, collaborating with a Senior Data Scientist, ML Engineer, and Analyst.

You will work with Python, SQL, BM25, vector search, reranking, RAG, and agentic systems to own and evolve Corestream, Kharon’s risk intelligence feed that surfaces entity-level insights and risk narratives for customers in global security, sanctions, and financial crimes.